Overview
As a member of our team, your responsibilities will include:
- Designing, implementing, and managing highly available, scalable, and secure systems on Google Cloud Platform
- Automating infrastructure provisioning using Infrastructure as Code tools such as Terraform and Deployment Manager
- Building and maintaining CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI, or Cloud Build
- Implementing monitoring, logging, and alerting solutions using Google Cloud Monitoring / Logging and tools like Prometheus, Grafana, or ELK
- Managing Kubernetes clusters using Google Kubernetes Engine
- Ensuring system reliability through capacity planning, performance tuning, disaster recovery planning, and chaos engineering practices
- Participating in on-call rotations and incident response processes
- Driving root cause analysis (RCA) and conducting post-incident reviews
- Collaborating with development teams to improve deployment processes and application reliability
- Implementing cloud security best practices across environments
What You should know:
- Must have 35 years of experience as an SRE, DevOps Engineer, or Cloud Engineer
- Strong hands-on experience with GCP services, including Google Compute Engine, Google Kubernetes Engine, Google Cloud Functions / Google Cloud Run, Google Cloud Storage, Google BigQuery, Google Cloud Pub/Sub, Google Cloud IAM, and Networking
- Experience with containerization and orchestration using tools like Docker and Kubernetes
- Proficiency in Infrastructure as Code tools such as Terraform, Helm, Ansible, or similar
- Strong scripting skills in at least one language (Python, Go, Bash, or Java)
- Experience building and managing CI/CD pipelines and automation frameworks
- Solid understanding of networking concepts, Linux systems, and security best practices
- Experience with monitoring and observability tools
- Strong troubleshooting and problem-solving skills
Preferred Qualifications:
- Experience working in multi-cloud environments (AWS/Azure + GCP)
- Knowledge of service mesh technologies such as Istio or Anthos
- Experience with GCP databases such as Cloud SQL, Spanner, or Firestore
- Familiarity with SLO / SLI / SLA frameworks
- Experience supporting high-traffic production environments
Mandatory Skills:
- Experience managing infrastructure on Google Cloud Platform (GCP)
- Strong hands-on expertise in Compute Engine, GKE, Cloud Functions / Cloud Run
- Experience implementing CI/CD pipelines and Infrastructure as Code (Terraform)
- Kubernetes cluster management experience
- Monitoring, logging, and alerting implementation
- Incident management, RCA, and reliability engineering practices
- Strong understanding of networking, Linux, and cloud security
Education:
- Bachelors degree in computer science, Information Systems, Engineering, Computer Applications, or related field.
Please note that the company offers additional benefits such as continuous learning opportunities, parental medical insurance, various team-building activities, and free meals. As a member of our team, your responsibilities will include:
- Designing, implementing, and managing highly available, scalable, and secure systems on Google Cloud Platform
- Automating infrastructure provisioning using Infrastructure as Code tools such as Terraform and Deployment Manager
- Building and maintaining CI/CD pipelines using tools like Jenkins, GitHub Actions, GitLab CI, or Cloud Build
- Implementing monitoring, logging, and alerting solutions using Google Cloud Monitoring / Logging and tools like Prometheus, Grafana, or ELK
- Managing Kubernetes clusters using Google Kubernetes Engine
- Ensuring system reliability through capacity planning, performance tuning, disaster recovery planning, and chaos engineering practices
- Participating in on-call rotations and incident response processes
- Driving root cause analysis (RCA) and conducting post-incident reviews
- Collaborating with development teams to improve deployment processes and application reliability
- Implementing cloud security best practices across environments
What You should know:
- Must have 35 years of experience as an SRE, DevOps Engineer, or Cloud Engineer
- Strong hands-on experience with GCP services, including Google Compute Engine, Google Kubernetes Engine, Google Cloud Functions / Google Cloud Run, Google Cloud Storage, Google BigQuery, Google Cloud Pub/Sub, Google Cloud IAM, and Networking
- Experience with containerization and orchestration using tools like Docker and Kubernetes
- Proficiency in Infrastructure as Code tools such as Terraform, Helm, Ansible, or similar
- Strong scripting skills in at least one language (Python, Go, Bash, or Java)
- Experience building and managing CI/CD pipelines and automation frameworks
- Solid understanding of networking concepts, Linux systems, and security best practices
- Experience with monitoring and observability tools
- Strong troubleshooting and problem-solving skills
Preferred Quali
